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  • Everitt, Niklas, 1987-, et al. (author)
  • Variance Results for Parallel Cascade Serial Systems
  • 2014
  • In: Proceedings of 19th IFAC World Congress. - : Elsevier BV.
  • Conference paper (peer-reviewed)abstract
    • Modelling dynamic networks is important in different fields of science. At present, little is known about how different inputs and sensors contribute to the statistical properties concerning an estimate of a specific dynamic system in a network. We consider two forms of parallel serial structures, one multiple-input-multiple-output structure and one single-input multiple-output structure. The quality of the estimated models is analysed by means of the asymptotic covariance matrix, with respect to input signal characteristics, noise characteristics, sensor locations and previous knowledge about the remaining systems in the network. It is shown that an additive property applies to the information matrix for the considered structures. The impact of input signal selection, sensor locations and incorporation of previous knowledge isillustrated by simple examples.
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Type of publication
conference paper (1)
Type of content
peer-reviewed (1)
Author/Editor
Hjalmarsson, Håkan, ... (1)
Rojas, Cristian R., ... (1)
Everitt, Niklas, 198 ... (1)
University
Royal Institute of Technology (1)
Language
English (1)
Research subject (UKÄ/SCB)
Engineering and Technology (1)
Year
2014 (1)

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